Low Back Diagnosis

Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder

PH846 / 1771 Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Disease or syndrome
    Phenotype UUID
    XG4ezYxpDnahwwJP3TgpEP
    Sex
    Both
    Valid Event Date Range
    01/01/2014 - 31/12/2018
    Coding System
    SNOMED CT codes
    Data Sources
    POpulation Level Analysis and Reporting (POLAR) Database Australia
    POpulation Level Analysis and Reporting (POLAR) Database Australia
    Collections
    ClinicalCodes RepositoryPhenotype Library
    Tags
    No data
    Ontology
    No data

  2. Definition

    Introduction:

    General practice is integral to the Australian healthcare system. Outcome Health’s POpulation Level Analysis and Reporting (POLAR) database uses de-identified electronic health records to analyse general practice data in Australia. Previous studies using routinely collected health data for research have not consistently reported the codes and algorithms used to describe the population, exposures, interventions and outcomes in sufficient detail to allow replication. This paper reports a study protocol investigating patterns of care for people presenting with musculoskeletal conditions to general practice in Victoria, Australia. Its focus is on the systematic approach used to classify and select eligible records from the POLAR database to facilitate replication. This will be useful for other researchers using routinely collected health data for research.

    Methods and analysis:

    This is a retrospective cohort study. Patient-related data will be obtained through electronic health records from a subset of general practices across three primary health networks (PHN) in southeastern Victoria. Data for patients with a low back, neck, shoulder and/or knee condition and who received at least one general practitioner (GP) face-to-face consultation between 1 January 2014 and 31 December 2018 will be included. Data quality checks will be conducted to exclude patients with poor data recording and/or non-continuous follow-up. Relational data files with eligible and valid records will be merged to select the study cohort and the GP care received (consultations, imaging requests, prescriptions and referrals) between diagnosis and 31 December 2018. Number and characteristics of patients and GPs, and number, type and timing of imaging requests, prescriptions for pain relief and referrals to other health providers will be investigated.

    Ethics and dissemination:

    Ethics approval was obtained from the Cabrini and Monash University Human Research Ethics Committees (Reference Numbers 02-21-01-19 and 16975, respectively). Study findings will be reported to Outcome Health, participating PHNs, disseminated in academic journals and presented in conferences.

  3. Implementation

    Implementation

    No data

  4. Clinical Code List

  5. Publication

    Related publications

    • Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder, Patterns of care for people presenting to Australian general practice with musculoskeletal complaints based on routinely collected data: protocol for an observational cohort study using the Population Level Analysis and Reporting (POLAR) database. BMJ Open, 11(e055528), 2021.

    Citation Example

    Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder. PH846 / 1771 - Low Back Diagnosis. Phenotype Library [Online]. 04 April 2022. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH846/version/1771/detail/. [Accessed 15 January 2025]

  6. Permissions

  7. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH846/version/1771/detail/?format=json
    R Package

    # Download here

    library(ConceptLibraryClient)


    # Connect to API

    client = ConceptLibraryClient::Connection$new(public=TRUE)


    # Get details of phenotype

    phenotype_details = client$phenotypes$get_detail(
     'PH846',
     version_id=1771
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get codelist of phenotype

    phenotype_codelist = client.phenotypes.get_detail(
     'PH846',
     version_id=1771
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH846/version/1771/export/codes/?format=json
    R Package

    # Download here

    library(ConceptLibraryClient)


    # Connect to API

    client = ConceptLibraryClient::Connection$new(public=TRUE)


    # Get codelist of phenotype

    phenotype_codelist = client$phenotypes$get_codelist(
     'PH846',
     version_id=1771
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get codelist of phenotype

    phenotype_codelist = client.phenotypes.get_codelist(
     'PH846',
     version_id=1771
    )

  8. Version History

    Version IDNameOwnerPublish date
    Low Back Diagnosis ieuan.scanlon2022-04-04 07:06